The role of functional traits in species distributions revealed through a hierarchical model
By Laura J. Pollock, W. Morris, Peter Vesk. 2012
207 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/7232ff0b5acfe751fd7f614f177b1a973e3ef2a7
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In Ecological Modeling
In Ecology, Evolution, Behavior and Systematics
In Nature and Landscape Conservation
Citations in the corpus
- Where do functional traits come from? The role of theory and models (2019, background): “…problem of predicting how species will respond to environmental change growing ever more significant, there is great interest in using functional traits as the basis for forecasting shifts in distribution and abundance (Buckley, 2010; Kearney et al., 2010; Pollock et al., 2012; Regos et al., 2019).”
- Selecting traits that explain species–environment relationships: a generalized linear mixed model approach (2013, unknown): “…address all three key questions, we develop a dedicated Generalized Linear Mixed Model (GLMM), very much in line with the very nice recent paper of Pollock et al. (2012), of which we were unaware, but we take into account the pseudo-replication introduced by vectorizing Y. GLMMs are as very…”
- The fourth‐corner solution – using predictive models to understand how species traits interact with the environment (2014, methodology): “Essentially, model-based approaches implemented here and elsewhere (Pollock et al. 2012; Jamil et al. 2013) can be understood as univariate approaches – the model does not account for correlation between species in any meaningful way in the estimation step.”
- MAcroecological Framework for Invasive Aliens (MAFIA): disentangling large-scale context dependence in biological invasions (2020, methodology): “(2019) used hierarchical linear regression models (Pollock et al. 2012; Jamil et al. 2013) to identify variables associated with invasion of non‐resident species.”
- Species and environmental characteristics point to flow regulation and drought as drivers of riparian plant invasion (2014, methodology): “We built a hierarchical generalised linear model of species occupancy as a function of environmental variables and mean values of seven species’ characteristics (Pollock et al., 2012).”
- How to make more out of community data? A conceptual framework and its implementation as models and software. (2017, background): “2016b), to relate such patterns to species traits and phylogenies (Pollock et al. 2012; Brown et al. 2014; Abrego et al. 2017a) and to quantify co-occurrence patterns among species (Pollock et al.”
- Modelling of species distributions, range dynamics and communities under imperfect detection: advances, challenges and opportunities (2017, background): “This new layer in the model hierarchy may also include species traits as predictors of variation in regression coefficients among species (Pollock et al. 2012).”
- Functional traits and community composition: A comparison among community‐weighted means, weighted correlations, and multilevel models (2018, methodology): “MLM1 was proposed by Pollock et al. (2012) which we formulated for binomial data, with the abundance of each species taking a value from 0 to 100 in each site.”